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Journals ACM SIGART Bulletin Issue 89

The m o s t i m p o r t a n t e n h a n c e m e n t is the search for covariates. When additional c o v a r i a t e variables are i n cluded in a study, it is possible to a c c o u n t for m o r e of the o b s e r v e d results. For example, w h e n studying b l o o d p r e s sure, it is useful to k n o w that it is p o s i t i v e l y related to age. Age could t h e r e b y be a covariate. EXPERIPLAN finds c o v a r i a t e s by searching its variable relationship k n o w l e d g e base. cupies the r e m a i n i n g 48K. It p r e s e n t l y contains 82 f u n c tions, 36 g l o b a l l y - d e f

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Playing Mastermind more logically or writing Prolog more efficiently

Powers, David M. W.
ACM SIGART Bulletin , Volume (89)
Association for Computing Machinery – Jul 1, 1984

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